Enterprise Data Warehousing (EDW) has been a mainstay of many major corporations for the last 20 years. However, with the tremendous growth of data (doubling every two years), the capacities of enterprise data warehouses are being exhausted. Load processing windows are similarly being maxed out, adversely affecting service and threatening the delivery of critical business insights. The need to store infrequently used, “just in case” data exacerbates this challenge by taking up (expensive) capacity.

Our client, a commercial distribution company, had grown rapidly through a series of acquisitions. However, they were struggling to align critical business information to enable data-driven decision making. Vital Enterprise Resource Planning (ERP) data originated from a variety of disparate data architectures and source systems. Key corporate stakeholders were making strategic decisions based on manually assembled reports, which lacked measurable consistency, data reliability, and metric transparency.

As a result, our client realized that they needed a way to visualize Key Performance Indicators across the organization. The organization had a vision to create near real-time dashboards, with a consistent user interface, across Sales, Finance, and Operations. Knowledgent was engaged to design and deliver an Enterprise Data Warehouse and data visualization solution, implemented in an Agile methodology.

With the rise of Hadoop, the demise of the data warehouse seemed only a matter of time. Surprisingly (or not), that’s not the case. Instead, organizations are looking to augment their current enterprise data warehousing solutions with the analytics and cheaper storage that Hadoop brings.

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